EduFdez / rgbd360

This project integrates the functionality to do image acquisition, localization and mapping using an omnidirectional RGB-D sensor developed in INRIA Sophia-Antipolis by the team LAGADIC, and with the collaboration of the University of Malaga. This functionality comprises: reading and serializing the data streaming from the omnidirectional RGB-D sensor; registering frames based on a compact planar description of the scene (http://www.mrpt.org/pbmap); loop closure detection; performing human-guided semi-automatic labelization of the scene; PbMap-based hybrid SLAM (i.e. using metric-topological-semantic information) with the omnidirectional RGB-D sensor moving freely with 6 DoF, or in planar movement with 3 DoF. Also, some visualization tools are provided to show the results from the above applications.

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rgbd360

This project integrates the functionality to do image acquisition, localization and mapping using an omnidirectional RGB-D sensor developed in INRIA Sophia-Antipolis by the team LAGADIC, and with the collaboration of the University of Malaga. This functionality comprises: reading and serializing the data streaming from the omnidirectional RGB-D sensor; registering frames based on a compact planar description of the scene (http://www.mrpt.org/pbmap); loop closure detection; performing human-guided semi-automatic labelization of the scene; PbMap-based hybrid SLAM (i.e. using metric-topological-semantic information) with the omnidirectional RGB-D sensor moving freely with 6 DoF, or in planar movement with 3 DoF. Also, some visualization tools are provided to show the results from the above applications.

About

This project integrates the functionality to do image acquisition, localization and mapping using an omnidirectional RGB-D sensor developed in INRIA Sophia-Antipolis by the team LAGADIC, and with the collaboration of the University of Malaga. This functionality comprises: reading and serializing the data streaming from the omnidirectional RGB-D sensor; registering frames based on a compact planar description of the scene (http://www.mrpt.org/pbmap); loop closure detection; performing human-guided semi-automatic labelization of the scene; PbMap-based hybrid SLAM (i.e. using metric-topological-semantic information) with the omnidirectional RGB-D sensor moving freely with 6 DoF, or in planar movement with 3 DoF. Also, some visualization tools are provided to show the results from the above applications.


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